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首页> 外文期刊>The Kasetsart Journal >Screening Methods for High Yield Corn Inbreds in Honeycomb Design and Performances of Their Hybrid Combinations
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Screening Methods for High Yield Corn Inbreds in Honeycomb Design and Performances of Their Hybrid Combinations

机译：蜂窝设计中高产玉米自交系的筛选方法及其杂交组合的性能

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Plant selection method is changing accordingly with emerging new concepts of selections. One of the most widely discussed concept is plant selection under nil competition environment in honeycomb designs to avoid plant to plant competition, minimize soil heterogeneity, promote highest expression of genetic potential, enhance differentiation among lines and facilitate line selection. This study designed to compare moving circle selection and prediction criterion, PC = X (Xs - X) / S_p~2 with conventional visual grid selection (selection 1 plant out of each 19 plants in the same row) in honeycomb design. Grouped replicated R-49 honeycomb design and 40 replicated plants was used to screen 49 S_7 inbreds under nil competition environment. As a results, moving circle selection identified highest number of diverse and good combine lines followed by PC and visual grid selection when tested in conventional plant spacing, 0.75 x 0.25 m. Top-7 hybrids were derived from top-5 inbreds of moving circle selection while only 3 and 1 hybrids in the top-7 were derived from top-5 inbreds of PC and visual selection, respectively. The results suggested that moving circle selection was the most effective method of selection under this experimental conditions. However, considering time and cost efficiency, visual grid selection is more practical for the identification of potential inbreds.
机译：随着新的选择概念的出现，植物选择方法也随之发生变化。讨论最广泛的概念之一是蜂窝设计中零竞争环境下的植物选择，以避免植物间竞争，最大程度地减少土壤异质性，促进遗传潜力的最高表达，增强品系间的分化并促进品系选择。本研究旨在比较蜂窝设计中的移动圆选择和预测标准PC = X（Xs-X）/ S_p〜2与常规可视网格选择（在同一行的每19株植物中选择1株）。分组复制的R-49蜂窝设计和40个复制的植物用于在零竞争环境下筛选49个S_7自交系。结果，当在常规设备间距0.75 x 0.25 m中进行测试时，移动圆的选择确定了最多数量的多样且良好的组合线，随后是PC和可视网格选择。前7个杂种来自运动圈选择的前5个近交，而前7个杂种分别来自PC和视觉选择的前5个近交。结果表明，在这种实验条件下，运动圆选择是最有效的选择方法。但是，考虑到时间和成本效率，可视化网格选择对于识别潜在近交者更为实用。

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